DEVELOPMENT... OpenML
Run
129409

Run 129409

Task 2353 (Supervised Classification) meta_batchincremental.arff Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_OneR(2)_I40
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.8165
Per class
Build CPU time
0.036
Build memory
374596840
F measure
0.7097
Per class
Kappa
0.2759
KB relative information score
4.482
Mean absolute error
0.1604
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7342
Per class
Predictive accuracy
0.7083
Prior entropy
1.3842
Recall
0.7083
Per class
Relative absolute error
0.7131
Root mean prior squared error
0.3095
Root mean squared error
0.325
Root relative squared error
1.05
SciMark benchmark
916.8903